Tackling data, regardless of scale, introduces unique challenges across different industries. Through two diverse startup stories, you'll learn that although the businesses may be completely different, there are many common best practices shared in designing reliable, scalable, & secure data pipelines. Learn how Cadre manages sensitive financial data through their strict auditing practices, & hear from Harry's about their open source tool Arthur which can help your team reduce development time for data analytics. If you're starting to work with large data sets, or interested in learning ways to improve what you currently have, come learn & share with others.
Conquering Data Quickly & Securely with Cadre & Harry's
6:30PM - 7:00PM
Cadre: Leveraging S3's Versioning & Security in Highly Regulated Industries
Learn how we take advantage of AWS' S3 encryption, versioning, & permission system to accelerate our work on parts of our financial service that require a full audit trail across versioned, sensitive documents. This is valuable if you're building in a compliant industry such as Fintech or Healthcare & Life Sciences, or you're interested in how to safely secure & manage your own data.
7:00PM - 7:30PM
Harry's: Enable Analytics Teams to Deliver a Performant Data Warehouse
At Harry's, we've built an open-source tool, "Arthur", for managing our data platform via ELTs (Extract-Load-Transform pipelines). Leveraging the AWS ecosystem including Redshift, EMR clusters, & Data Pipeline, our data platform supports applications ranging from business intelligence, to ad-hoc analytics, to machine learning applications for intelligent systems. Here we will showcase how we use Arthur to lower development overhead & reduce iteration time for our analytics team & warehouse developers.
7:30PM - 8:30PM
Networking & Happy Hour